A secure AI chat application crafted for deep thinkers

中文 | English

Pointer is a cross-platform desktop AI chat client built with Electron, React 19, and TypeScript. It connects to various AI model APIs (OpenAI, Claude, DeepSeek, etc.) and provides advanced conversation management with a focus on knowledge organization and deep thinking workflows.

• Configure multiple AI providers (OpenAI GPT, Anthropic Claude, DeepSeek, etc.)
• Switch between models seamlessly during conversations
• Streaming responses with real-time reasoning process display

• Tree-structured message history with version control
• Create and switch between conversation branches
• Maintain context inheritance across branches
• Navigate conversation history with ease

• Folder-based hierarchical organization
• Message bookmarking and tagging
• Parallel tab workflow for multiple conversations
• Global search with keyword highlighting

• Import data from ChatGPT and DeepSeek exports
• Export conversations for backup
• Local data storage with privacy focus
• Batch operations and drag-and-drop sorting

• Global AI generation task management
• Real-time task status and cancellation
• Cross-page Q&A traceability

Download the latest release for your platform from the Releases page:

• Windows: .exe installer
• macOS: .dmg installer
• Linux: .AppImage or .deb package

Requirements:

• Node.js 18+
• pnpm

# Clone the repository
git clone https://github.com/experdot/pointer.git
cd pointer

# Install dependencies
pnpm install

# Run in development mode
pnpm dev

# Build for your platform
pnpm build:win    # Windows
pnpm build:mac    # macOS
pnpm build:linux  # Linux

1. Launch the application
2. Open Settings
3. Add a new AI model configuration:
   • Name: Display name for the configuration
   • API Endpoint: The API URL (e.g., https://api.openai.com/v1)
   • API Key: Your access token
   • Model: Model identifier (e.g., gpt-4o, claude-3-5-sonnet)
4. Set as default and test the connection

src/
├── main/              # Electron main process
│   ├── aiHandler.ts     # AI API request handling
│   ├── ipcHandlers.ts   # IPC communication
│   └── autoUpdater.ts   # Auto-update logic
├── preload/           # Preload scripts (context bridge)
└── renderer/          # React application
    └── src/
        ├── components/    # UI components
        ├── services/      # Business logic
        ├── stores/        # Zustand state management
        ├── hooks/         # Custom React hooks
        ├── features/      # Feature modules
        └── utils/         # Utility functions

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Follow the coding standards (TypeScript, ESLint, Prettier)
4. Commit using conventional commits format
5. Open a Pull Request

MIT License